I have got downloaded a file that got downloaded in a format .pynb.txt extension. Can anyone help me to figure how to make it in a readable format?
Attaching a screenshot of the file when i tried opening in python notebook.
What you have on your hands is an IPython Notebook file. (Now renamed to Jupyter Notebook
you can open it using the command ipython notebook filename.ipynb from the directory it is downloaded on to.
If you are on a newer machine, open the file as jupyter notebook filename.ipynb.
do not forget to remove the .txt extension.
the file has a series of python code/statements and markdown text that you can run/inspect/save/share. read more about ipython notebook from the website.
if you do not have IPython installed, you can do
pip install ipython
or check out installation instructions at the ipython website
If you have a unix/linux system I'd just rename the file via command line
mv file_name.pynb.txt file_name.ipynb
worked like a charm for me!
These steps work for me:
Open the file in Jupyter Notebook.
Rename the file: Click File > Rename, change the name so that it ends with '.ipynb' behind, and click OK
Close the file.
From the Jupyter Notebook's directory tree, click the filename to open it.
Try the following steps:
Download the file open it in the Juypter Notebook.
Go to File -> Rename and remove the .txt extension from the end; so now the file name has just .ipynb extension.
Now reopen it from the Juypter Notebook.
I used to read jupiter nb files with this code:
import codecs
import json
f = codecs.open("JupFileName.ipynb", 'r')
source = f.read()
y = json.loads(source)
pySource = '##Python code from jpynb:\n'
for x in y['cells']:
for x2 in x['source']:
pySource = pySource + x2
if x2[-1] != '\n':
pySource = pySource + '\n'
print(pySource)
Below is the easiest way in case if Anaconda is already installed.
1) Under "Files", there is an option called,"Upload".
2) Click on "Upload" button and it asks for the path of the file and select
the file and click on upload button present beside the file.
The trick that works is this:
Open the file with jupyter notebook. It is not going to display properly, don't work.
Click on file > rename and remove the ".txt" attached to the file's name immediately after ".ipynb"
Close the file and reopen it.
Enjoy it.
go to cmd get into file directory and type
jupyter notebook filename.ipynb in my case it open code editor and provide local host connection string copy that string and paste in any browser!done
I faced a similar situation what I did is created a blank .ipynb file via Jupyter and replacted the code in the blank file.
CMD in Windows machine type jupyter notebook
Then Opened new IPY kernal
In the new IPY Kernal went to file>>Download as>> Notebook(.ipynb)
This will create a blank .ipynb file
opened that file in notepad and replaced the code.
I faced a similar issue recently. (Using Linux)
What I did is-
searched for jupyter support in VsCodium(Visual Studio Code)
the package named "ms-python" is the support for jupyter which opens ".ipynb" file.
Click on the second ext in the image
Another way of opening a ".ipynb" file is simply opening it on the jupyter online Jupyter online you can upload your files and continue
Upload the file on Jupyter Notebook with (.ipynb.txt) format.
Single click on the file name.
Rename it.
Click Save.
Works for me as of 9/17/2022
Related
I'm using imported methods from a .py file in a jupyter notebook and I wish to edit the .py file and use the updated function in the notebook. Currently, when I change a function or class in the .py file I have to close this file in VSCode and restart the notebook kernel to use the methods with the change I just made in the .py file, as if VSCode uses a cached version of the .py file if I don't restart the jupyter kernel. Is there anyway to change this setting? I used to work like this in PyCharm and it worked fine.
You need to enable the auto reload magic in IPython. Try running the following before your code:
from IPython import get_ipython
ip = get_ipython()
ip.magic("reload_ext autoreload") # these will enable module autoreloading
ip.magic("autoreload 2")
In jupyter notebook, because the way of parsing files is based on JSON, the file format saved by default is not .py is .ipynb。 And .ipynb files cannot be simply imported to .py or .ipynb file, which brings great inconvenience to the development. Because in Jupiter notebook, it must be in the default .ipynb can support a series of features, such as automatic completion, console waiting, and so on .py files can only be modified through a text editor, which is very inconvenient.
Because .ipynb can import .py module, so one of the solutions is to convert the .ipynb module to .py file. Create a new cell at the end of the .ipynb file. Adding the following codes:
try:
!jupyter nbconvert --to python file_name.ipynb
except:
pass
# file_ name.ipynb is the file name of the current module
Then a file with the same name will be generated in the current .py file, this module can be used in other .ipynb.
Everything works fine when I first open vscode and create a new Jupyter notebook
When I save and reopen it, the run button is gone.
I have added "jupyter.experiments.optOutFrom": ["NativeNotebookEditor"] to setting.JSON and still no change
python is installed
Jupyter notebook installed
How can I make it to work?
It looks weird, the appearance of the jupyter notebook in your question is different from mine:
In my memory, it looks like the older version of the jupyter notebook.
Could you provide more info about the jupyter notebook you are using? Like this:
And could you try to reinstall the Jupyter Notebook extension and disable other extensions which may be related to .ipynb file?
Use shift+enter and that should run the cell.
You should open the folder as a workspace and then, the button is shown. If you only open the file the result is that you can read the content, but not run the python code.
To elaborate on Steven-MSFT's answer, I saw that there was a button called "Reload Extension" indicated on this drawing below:
You can access this sidebar by entering cmd + shift + p, and then entering "Extensions: Install Extensions", as seen below:
Once I reloaded my Jupyter extension, all worked fine for me.
I had the same problem today. Uninstall and reinstall of "Jupyter" extension solved it.
Every time when I try to run a file in the JupiterLab console I get the following message:
ERROR:root:File 'thing.py' not found.
In this case, my file is called thing.py and I try to run it with the trivial run thing.py command in the console. The code is running and it gives me correct results when executed in the console, but I wanted to have it saved, so I put it in a JupiterLab text file and changed the extension to .py instead of .txt. But I get the aforementioned message regardless of which file I try to run. I am new to JupiterLab and admit that I might have missed something important. Every help is much appreciated.
If you're running Jupyterlab you should be able:
to create a new file & paste in your commands
Rename that file to "thing.py"
And then open a console in the same Jupyterlab instance and run that file. Notice that you can see "thing.py" in the file explorer on the left:
Alternatively, you can use the %load magic command in a notebook to dynamically load the code into a notebook's cell.
You might want to understand exactly what a Jupyter Lab file is, and what a Jupyter Lab file is not. The Jupyter Notebooks have the extension, .ipynb.
So anyway, the Jupyter Notebooks are not saved or formatted with python extensions. There are no Jupyter Notebooks or Jupyter Labs ending with the .py extension. That means Jupyter will not recognize an extension having .py, or .txt or .R or etc.... Jupyter opens, reads, and saves files having the .ipynb extension.
Jupyter Notebooks are an open document format based on JSON.
Jupyter can export in a number of different formats. Under the File tab, is the Export feature. The last time I looked there were about 20 different export formats. But there isn't a python or .py export format. A Jupyter file can also be Downloaded. Also under the File tab is the Download feature. This will download a standard text formatted JSON file. JSON files are mostly unreadable unless you've spent years coding JSON.
So there's not much purpose in downloading the Jupyter file unless you are working on a remote server and cannot save your work at that site. And it makes much more sense to save and copy the Jupyter file in its native Jupyter format - that means having the extension, .ipynb . Then just open and use that file on another PC.
Hopefully this should clarify why Jupyter won't open any .py or .txt files.
I often use jupyter for classes, and use the commmand python -m notebook to open the notebook. The tab that opens up shows an error, and then I have to copy one of the links in the terminal window instead. Is there a way or a command that I can use so that one of those links automatically opens up?
NOTE: It opens the file location (first address in the picture) and fails, and I use the links below to open jupyter. I want the terminal to open the links directly if possible to save time.
This is the error that I get.
jupyter notebook notebook.ipynb
Taken from this documentation.
It shouldn't matter whether you install it using conda or pip.
Or you can just type jupyter notebook which should open up a your file directory in the browser and let you navigate to the notebook file you want to open.
Edit: For this error, it really is hard without knowing the full context of the commands you are running, the directory you are calling from, and where this file you want to open is located. Make sure you are in the folder that contains your notebook file. If not, you should specify the entire path to the notebook file. Finally, does the command jupyter notebook by itself work?
I couldn't find a place for me to change the working directory in Jupyter Notebook, so I couldn't use the pd.read_csv method to read in a specific csv document.
Is there any way to make it? FYI, I'm using Python3.5.1 currently.
Thanks!
Running os.chdir(NEW_PATH) will change the working directory.
import os
os.getcwd()
Out[2]:
'/tmp'
In [3]:
os.chdir('/')
In [4]:
os.getcwd()
Out[4]:
'/'
In [ ]:
You may use jupyter magic command as below
%cd "C:\abc\xyz\"
First you need to create the config file, using cmd :
jupyter notebook --generate-config
Then, search for C:\Users\your_username\.jupyter folder (Search for that folder), and right click edit the jupyter_notebook_config.py.
Then, Ctrl+F: #c.NotebookApp.notebook_dir ='' . Note that the quotes are single quotes. Select your directory you want to have as home for your jupyter, and copy it with Ctrl+C, for example: C:\Users\username\Python Projects.
Then on that line, paste it like this : c.NotebookApp.notebook_dir = 'C:\\Users\\username\\Python Projects'
Make sure to remove #, as it is as comment.
Make sure to double slash \\ on each name of your path.
Ctrl+S to save the config.py file !!!
Go back to your cmd and run jupyter notebook. It should be in your directory of choice. Test it by making a folder and watch your directory from your computer.
on Jupyter notebook, try this:
pwd #this shows the current directory
if this is not the directory you like and you would like to change, try this:
import os
os.chdir ('THIS SHOULD BE YOUR DESIRED DIRECTORY')
Then try pwd again to see if the directory is what you want.
It works for me.
it is similar to jason lee as he mentioned earlier:
in Jupyter notebook, you can access the current working directory by
pwd()
or by import OS from library and running os.getcwd()
i.e. for example
In[ ]: import os
os.getcwd( )
out[ ]: :c\\users\\admin\\Desktop\\python
(#This is my working directory)
Changing Working Directory
For changing the Working Directory (much more similar to current W.d just you need to change from os.getcwd() to os.chdir('desired location')
In[ ]: import os
os.chdir('c:user/chethan/Desktop') (#This is where i want to update my w.d,
like that choose your desired location)
out[ ]: 'c:user\\chethan\\Desktop'
It's simple, every time you open Jupyter Notebook and you are in your current work directory, open the Terminal in the near top right corner position where create new Python file in. The terminal in Jupyter will appear in the new tab.
Type command cd <your new work directory> and enter, and then type Jupyter Notebook in that terminal, a new Jupyter Notebook will appear in the new tab with your new work directory.
Jupyter under the WinPython environment has a batch file in the scripts folder called:
make_working_directory_be_not_winpython.bat
You need to edit the following line in it:
echo WINPYWORKDIR = %%HOMEDRIVE%%%%HOMEPATH%%\Documents\WinPython%%WINPYVER%%\Notebooks>>"%winpython_ini%"
replacing the Documents\WinPython%%WINPYVER%%\Notebooks part with your folder address.
Notice that the %%HOMEDRIVE%%%%HOMEPATH%%\ part will identify the root and user folders (i.e. C:\Users\your_name\) which will allow you to point different WinPython installations on separate computers to the same cloud storage folder (e.g. OneDrive), accessing and working with the same files from different machines. I find that very useful.
Open jupyter notebook click upper right corner new and select terminal then type cd + your desired working path and press enter this will change your dir. It worked for me
list all magic command %lsmagic
show current directory %pwd
I have did it on windows machine. Detail mentioned below
From windows start menu open “Anaconda Prompt
Find .jupyter folder file path .
In command prompt just type
or to find the .jupyter path
After find the .jupyter folder, check there has “jupyter_notebook_config” file or not. If it is not there then run below command
After run the command it will create "jupyter_notebook_config.py"
if do not have administrator permission then Some time you could not find .jupyter folder . Still you can open config file from any of the text editor
Open “jupyter_notebook_config.py” file from the the “.jypyter” folder.
After open the file need to update the directory is use for notebooks and kernel. There are so many line in config file so find “#c.NotebookApp.notebook_dir” and update the path
After:
Save the file
6. Now try to create or read some file from the location you set
What works for me on Windows is creating a shortcut to jupyterlab, and altering the properties of the shortcut.
At "Start in:", enter your desired working directory.
Using this method, you don't have to configure a global file either.